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Are you looking for an employer who can offer you opportunities for growth and development in your speech and language therapy career- all whilst working within a friendly multidisciplinary team in a rewarding environment? London Children’s Practice is an exciting and creative practice looking for an ambitious Speech and Language Therapist who wants to grow their clinical skills in a strong team environment. We place a high importance on work-life balance, so we offer a Summer Contract that maximises annual leave! We’re also trialling provision for 10% rest every day! Job Title: Paediatric Speech and Language Therapist Location: Regional Role, Surrey/Epsom Salary: Up to £55,000 FTE, dependent on experience – plus a welcome bonus of £2000 (£1000 after successful completion of 3 months and £1000 after successful completion of probation) All experience levels considered – multiple positions available due to growth Hours: 37.5 Hour Week - Flexible working across 6 days (Monday-Saturday) Contract: Permanent - Summer contract – 50 weeks (5 weeks off in summer break, + 22 days holiday) About London Children’s Practice The London Children's Practice is a renowned multidisciplinary hub, with a 15-year legacy of delivering exceptional care to children, young people, and families, both in London and internationally. Our success is built on a foundation of growth, collaboration, diversity, and care, which underpins every aspect of our therapeutic and assessment services. We work in close partnership with schools and Local Authorities, developing tailored packages of support that create meaningful, lasting outcomes. As part of the Outcomes First Group, a recognised leader in exceptional education, The London Children's Practice works with the OFG Momenta Connect brand. Our partnership helps young people overcome educational barriers, engage with their learning, and embrace their unique strengths to find their path. With The London Children's Practice entering a significant phase of growth, now is an exciting time for new employees to join and develop professionally. For more information about the London Children’s Practice, please visit our website: ___ About the role We are seeking an enthusiastic, creative, and motivated Paediatric Occupational Therapist/SALT/Ed Psych to join our expanding multi-disciplinary team and working in our Epsom Clinical Hub in a hybrid school and outpatient clinic setting. As a Paediatric Speech and Language Therapist, you will play a vital role in unlocking children and young people's potential by assessing their needs and providing specialised interventions in school based and clinic-based settings. This is achieved by working collaboratively with parents, carers, multidisciplinary and teaching teams across our hub school and clinic setting to ensure that interventions are effectively ?integrated into the young person's daily life. A key function is equipping key adults in that young person's life with the skills to confidently support them in achieving their therapy goals using evidence based delivery models. In your role as a Paediatric Speech and Language Therapist , you will conduct comprehensive assessments of a child or young person's various developmental or learning needs with standardised and non-standardised assessment tools alongside developing and implementing individualised intervention plans and collaborating with teachers, parents, and other professionals to integrate these goals into the child or young person's daily environment. The role also involves evaluating intervention effectiveness, providing training and upskilling to key adults, and maintaining accurate documentation. The therapist will actively participate in multidisciplinary meetings to ensure coordinated care for children and young people with complex needs. You will hold an independent caseload within the outpatient clinic site alongside dedicated work days in the conjoined SEND school setting working collaboratively with the on site therapy team and teaching staff to deliver therapy provision within the learning environment. Location: Momenta Clinical Hub - Epsom Essential Criteria: • BSc or MSc in Speech and Language Therapy., • Experience working within a paediatric setting., • Experience working with EHCPs and SLT provision in a school setting., • Experience working with complex behaviours., • Experience completing assessments for Education, Health, and Care Plans, • Specialist CPD and/or training, • Trauma-Informed care experience At the London Children’s Practice, we provide exceptional care by investing in our team. Here’s what we offer: • Ongoing Professional Development: Access training opportunities that support your career growth and interests., • Comprehensive Wellbeing Support: Prioritise a healthy work-life balance with our dedicated support services and wellness initiatives., • Expert Supervision and Mentoring: Work with experienced practitioners who provide guidance for your paediatric occupational therapy journey., • Structured Clinical Growth: Benefit from regular in-house training, workshops, and supervision to refine your skills., • 5 weeks off in the school summer break, • 22 days of annual leave + years of service allowance, • 1 CPD day to use towards training, • Annual CPD opportunities + Monthly internal CPD provided, • Life Assurance, • Pension scheme with options to increase your contributions, • “Your Wellbeing Matters” – access to a wide range of first-class mental health support services and physical health checks, • Family Growth Support - inclusive benefits package covering enhanced maternity and paternity leave, along with paid fertility treatment support., • A wide range of health, wellbeing, and insurance benefits, • 100s of discount options valid in the UK and abroad, • Cycle to Work Schemes, • Electric Car Purchase Scheme At LCP, we are committed to the safeguarding and promoting the welfare of people. All successful applicants will be subject to a fully enhanced DBS. Job ref: 302292

Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future. You'll join a collaborative and inclusive team where you're supported to grow your skills, explore new opportunities, and contribute from day one. You'll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow, belong and impact. Within the Quantitative Finance team of the Banking Risk Consulting department, you will interact mainly with banks on a variety of projects related to Credit Risk and Climate Risk. Any previous experience in Market Risk, Liquidity Risk or Sovereign Risk is a plus but not mandatory. You will hold a master's degree in Quant Finance, Mathematics or Statistics. • Contribute in small and large-sized multidisciplinary engagement teams delivering quantitative finance projects for clients, • Model development for small to large size clients, for quantitative risk management models such as transition risk and physical risk models with incorporation into credit risk and other financial risks for multiple asset classes, • Model validation for small to large size clients, for quantitative risk management models such as (PD/LGD, physical risk models, transition risk models), • Oversee summer internship projects, • Contribute to Forvis Mazars' regulatory watch activities by writing articles or providing technical content, • Support business development by preparing client proposals, • Help with administrative tasks (such as training and recruitment), • Must have experience in credit risk modelling (IFRS 9, IRB modelling), • Must hold a 2:1 or above Master's degree in a quantitative discipline e.g. mathematics, statistics, quantitative finance, • Advanced level of knowledge in quantitative risk management (covering credit and climate risk), stochastic calculus, modelling, statistics and probabilities, • Strong and significant experience in credit (PD & LGD modelling) and climate (physical risk, transition risk) risk modelling, • Advanced level of technical experience in using Python, • Desired experience/skills: model development and model validation We seek to attract, develop, and retain the best talent, inclusive of sex, ethnicity, disability, socio-economic background, sexual orientation, gender identity, nationality, and faith. We select candidates based on skills, knowledge, qualifications, and experience and aim to support all our team members to reach their potential. At Forvis Mazars, we promote an environment in which you can grow your skills, belong to a team that values your ideas, and make an impact that matters

Ideas | People | Trust We’re BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today’s changing world. We work with the companies that are Britain’s economic engine – ambitious, entrepreneurially-spirited and high‑growth businesses that fuel the economy - and directly advise the owners and management teams that lead them. We’ll broaden your horizons Our Deals team provide a wide variety of services that deliver value-led advice and outcomes. They have an in-depth knowledge of business, industry sectors and markets and understand the constantly changing risks and opportunities at the heart of our clients’ affairs. The team work across strategy, operations and improvement as well as at a transactional and defined project level. When you join them, you’ll work on some of the world's most exciting financial operations and business deals, building your experience and expertise alongside the brightest minds in the industry. We’ll help you succeed Leading organisations trust us because of the quality of our advice. That quality grows from a thorough understanding of their business, and that understanding comes from working closely with them and building long-lasting relationships. You’ll be someone who is both comfortable working proactively and managing your own tasks, as well as confident collaborating with others and communicating regularly with senior stakeholders to help businesses effectively. You’ll be encouraged to identify and draw attention to opportunities for enhancing our delivery and providing additional services to organisations we work with. As a Manager in our Life Sciences & Healthcare (LSHC) Strategy & Commercial Due Diligence team, you will play a central role in delivering high-quality analysis on transactions and growth strategy projects for corporate and private equity clients. You will lead day-to-day workstreams, manage junior team members, and support the development of client relationships across pharma, biotech, medical devices, healthcare services and related subsectors. This role is ideal for someone with solid commercial due diligence and/or strategy experience in LSHC who is ready to take on greater responsibility for project delivery, people development, and practice building, while working closely with Associate Directors/ Directors and Partners. You’ll be someone with: • Demonstrable experience delivering workstreams on Commercial Due Diligence and/or growth strategy projects, ideally with a strong focus on Life Sciences & Healthcare (e.g. pharma, biotech, medtech, healthcare services)., • Sector knowledge of LSHC markets, value chains and business models, with exposure to transactions and growth strategy in the sector., • Experience guiding and developing junior team members, with the ability to support high-quality analysis and pragmatic problem solving., • Ability to contribute to building LSHC team capabilities, knowledge assets and credentials, and to support wider practice initiatives., • Some experience supporting recruitment, learning and development, and mentoring activities., • Working understanding of ethics, independence, and professional guidelines, and ability to operate within established risk and compliance frameworks., • Strong working knowledge of Microsoft PowerPoint, Word, and Excel. You’ll be able to be yourself; we’ll recognise and value you for who you are and celebrate and reward your contributions to the business. We’re committed to agile working, and we offer every colleague the opportunity to work in ways that suit you, your teams, and the task at hand. At BDO, we’ll help you achieve your personal goals and career ambitions, and we have programmes, resources, and frameworks that provide clarity and structure around career development. We’re in it together Mutual support and respect is one of BDO’s core values and we’re proud of our distinctive, people-centred culture. From informal success conversations to formal mentoring and coaching, we’ll support you at every stage in your career, whatever your personal and professional needs. Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you’ll always have access to the people and resources you need to do your best work. We know that collaboration is the key to creating value for the companies we work with and satisfying experiences for our colleagues, so we’ve invested in state-of-the-art collaboration spaces in our offices. BDO’s people represent a wealth of knowledge and expertise, and we’ll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you’ll never stop learning at BDO. We’re looking forward to the future At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy. Our success is powered by our people, which is why we’re always finding new ways to invest in you. Across the UK thousands of unique minds continue to come together to help companies we work with to achieve their ambitions. We’ve got a clear purpose, and we’re confident in our future, because we’re adapting and evolving to build on our strengths, ensuring we continue to find the right combination of global reach, integrity and expertise. We shape the future together with openness and clarity, because we believe in empowering people to think creatively about how we can do things better. #LI-RW1 #TJ-RW1

Trainee AI Technician – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £28,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\n\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\n\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\n\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\n\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\n\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\n\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\n\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\n\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\n\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\n\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\n\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\n\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\n\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\n\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\n\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £28,000–£45,000\n\nWe Get You Hired\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Trainee AI Programmer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Trainee AI Engineer – No Experience Needed\nFuture-proof your career in Artificial Intelligence – starting today.\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\nPlease note this is a training course and fees apply\nJob guaranteed - complete the programme and get a job or get your money back.\nOur candidates earn £30,000-£45,000.\nWhy AI?\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\nHow It Works\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\nWhat You Get\n· 100% online, self-paced training\n· Microsoft AI-900 certification included\n· 1-to-1 tutor and recruitment support\n· Real-world project experience\n· Job guarantee – get a job or your money back\n· Starting salary of £30,000–£45,000\nWe Get You Hired!\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\nReady to Start?\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Trainee AI Programmer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £28,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\n\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\n\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\n\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\n\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\n\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\n\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\n\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\n\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\n\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\n\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\n\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\n\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\n\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\n\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\n\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £28,000–£45,000\n\nWe Get You Hired\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Document ControllerLondon, Leeds, South - HybridPermanent – Full TimeSalary Competitive (DOE) & Flexible Benefits Role Purpose: The Document Controller is responsible for the day-to-day control, administration, and monitoring of project information within the Common Data Environment (CDE). The role ensures that drawings, models, documents, and data are received, checked, issued, distributed, and archived correctly, so that project teams can rely on information being current, controlled, and available to the right people at the right time. Operating under the direction of the Information Manager, the Document Controller forms a core part of the Project Management team, acting as the project’s information nerve centre. Done well, this role provides confidence, visibility, and early warning — not just file handling. This is an operational, delivery-focused role. While the Document Controller does not define information strategy or governance, the effectiveness of information management in practice depends on the discipline, consistency, and judgement applied in this role every day. Some of the key deliverables in this role will include: Common Data Environment (CDE) Operation Operate and administer project Common Data Environments in line with agreed information-management procedures. Support projects operating on widely used UK CDE platforms, which may include: • Viewpoint for Projects, • Aconex, • Dalux, • Asite Maintain clear separation between current, superseded, and archived information, ensuring teams are never exposed to outdated or unauthorised data. Information Receipt, Issue & Distribution Receive information from internal teams and external parties in line with agreed exchange procedures. Carry out initial checks to confirm that submissions are: • correctly named and coded, • issued with the correct status and revision Prevent uncontrolled or informal issue of information that could introduce risk to programme, quality, or construction activities. Naming, Status & Revision Control Apply agreed naming conventions, status codes, and revision logic consistently across all project information. Ensure that superseded or withdrawn information is clearly identified and removed from active circulation. Maintain accurate revision histories that demonstrate the status of information at any point in time. Support project teams by identifying and correcting naming or status issues before information is released for use, protecting the project from silent errors and confusion. Information Registers, Tracking & Visibility Maintain accurate information registers, transmittals, and distribution logs within the CDE. Track what information is due, when it is expected, and from whom, in line with agreed delivery plans. Provide clear visibility to Project Managers on: • information received, • information outstanding or late, • submissions at risk Actively monitor information flows and identify risks such as: • late or missing submissions, • repeated re-issues due to incorrect status or naming, • bottlenecks in review or approval Support a proactive document-control culture, where information deliverables are treated with the same importance as programme activities or physical outputs. Collaboration & Project Integration Work closely with: • Project Managers and Engineers Act as the first point of contact for day-to-day information-control queries, reinforcing agreed processes calmly and consistently. Does this sound like a role you have envisaged yourself in? What we’re looking for: Essential Experience working in a document control role within design, engineering, or construction environments. Practical experience using one or more industry-standard CDE platforms. Strong understanding of controlled information workflows, including issue, review, approval, and revision. High attention to detail and confidence managing information under time pressure. Desirable Experience supporting projects operating under ISO 19650-aligned principles. Experience working across multiple projects concurrently. Familiarity with information-delivery planning and progress tracking. Why Join Us? At Freedom, we believe in attracting and retaining the best talent by offering great benefits and career progression opportunities, including: • Pension with up to 8% employer contribution, • Car Allowance, • Private Medical Insurance, • Personal Wellbeing and Volunteer Days, • Salary Sacrifice Car Scheme (Hybrid/Electric Vehicle), • Flexible benefits (e.g., Dental Insurance, Gym Memberships, Tax-Free Bikes), • Ongoing Training & Development Programme Next Steps: As a business, we’re on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We’ll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: Freedom

Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process – and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you’ll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: -Build and lead relationships for highly sophisticated customer accounts -Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope -Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities -Verify operability of sophisticated product and service configurations within the customer’s environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Technical Skills · Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). · Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats · Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). · Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. · Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. · Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). · Analytics, BI, and data science · Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. · Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. · Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills · Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. · Can translate ambiguous business problems into clear data and analytics use cases. · Storytelling & communication · Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. · Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). · Demo & POC excellence · Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. · Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. · Competitive positioning · Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: · Cloud data warehouse or lakehouse migrations · Enterprise BI modernization/self-service analytics · GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications · Real-time or streaming analytics · Advanced analytics / data science enablement · Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy ___. Job ID:R285938

Job reference: 332372 Location: North London Workshop, Unit A, Kentish Town Business Park, Regis Road, London, NW5 3RR Are you looking for stability and variety in your next move? Join the largest, and greenest, fleet operator in the UK and take on a new challenge in a commercial vehicle workshop environment. We’re recruiting an IMI Level 3 qualified mechanic at North London Workshop on a Permanent contract, with the potential to earn up to £60k including overtime. Working Hours: Full time - 39.5 hours per week (excluding meal breaks). Three week rotating shift pattern; week 1: 06:00 - 14:30, week 2: 06:00 - 14:30 and week 3: 13:30 - 22:00) Saturday working will be required on a rotational basis once every 3 weeks. This workshop is not currently operational on a Sunday. What’s in it for you? • Salary: £44,345 per annum plus a shift allowance of £87.58 per week when working the 13:30 - 22:00 shift., • Additional weekend supplement on Saturday (£52.10 per shift) and/or Sunday (£104.20 per shift) is applicable, • You may be eligible for a welcome bonus of £1,500.*, • 22.5 days annual holiday (plus bank holidays), rising with service and with the option to purchase more., • An excellent company matched pension scheme and financial benefits., • The chance to develop your career, including a customised annual training and development plan., • PPE and image clothing supplied (including overalls and steel toe capped boots)., • Exclusive discounts on shopping, tech, travel, days out and socialising for you and the family., • The chance to work for the Environmental Fleet of the Year 2024. *Payments are made in instalments and subject to terms and conditions. A bit about the role With a Fleet of over 49,000 vehicles, including traditional fuel and electric vehicles, LCVs and HGVs, maintaining our vehicles is a true team effort. We’re investing in modernising our fleet, giving you the opportunity to work on a variety of makes and models. There’s never been a better time to join Royal Mail as a Vehicle Technician. • You’ll perform a full range of inspections, diagnostic, maintenance, and repair procedures on a range of vehicles, trailers, and mechanical equipment., • You’ll use your own personal toolkit to undertake routine maintenance and repair light / heavy goods vehicles., • You’ll also have access to specialist tooling and shared equipment in our modern, fully equipped workshops. A bit about you • Qualified mechanic: you’re fully qualified to an advanced level (IMI Level 3 in Light or Heavy vehicle or equivalent). You’ve got your own toolkit for standard repairs., • Varied vehicle experience: Proven Vehicle Technician experience working on a wide range of vehicles, for example LCV / HGV., • Valid UK driving licence: You hold a full manual UK driving licence, preferably an HGV licence with trailer experience., • High working standards: you take pride in your work and do what is necessary to make sure the job is done effectively., • Flexible to service demands: you’re able to work on a flexible shift rota. You’re always willing to support your team where necessary. Interested? Click ‘Apply Now’ to make sure you don’t miss out of this fantastic opportunity. Trust is the foundation of everything we do at Royal Mail. We aim to be transparent about the qualities we seek and build trust from the start of your journey with up. Your interview is the first step, and we want you to shine. To help you prepare, we’ll provide you your interview questions in advance. This ensures you can present your best examples. At Royal Mail Group, we value trust and our people. Royal Mail takes pride in our diverse employee network groups, which actively promote belonging and foster a positive work environment. Our unwavering commitment to inclusion means that we’re passionate about our people representing the communities we serve. If you require any adjustments during the application and hiring process, please share the details in your application. Additionally, we’re proud to be Forces family friendly and a Gold signatory of the Armed Forces Covenant. We welcome applications from ex-Armed Forces personnel, reservists, veterans, cadet instructors, and military spouses/partners. For more information on Royal Mail Group and our values please click here:

Job reference: 332372 Location: North London Workshop, Unit A, Kentish Town Business Park, Regis Road, London, NW5 3RR Are you looking for stability and variety in your next move? Join the largest, and greenest, fleet operator in the UK and take on a new challenge in a commercial vehicle workshop environment. We’re recruiting an IMI Level 3 qualified mechanic at North London Workshop on a Permanent contract, with the potential to earn up to £60k including overtime. Working Hours: Full time - 39.5 hours per week (excluding meal breaks). Three week rotating shift pattern; week 1: 06:00 - 14:30, week 2: 06:00 - 14:30 and week 3: 13:30 - 22:00) Saturday working will be required on a rotational basis once every 3 weeks. This workshop is not currently operational on a Sunday. What’s in it for you? • Salary: £44,345 per annum plus a shift allowance of £87.58 per week when working the 13:30 - 22:00 shift., • Additional weekend supplement on Saturday (£52.10 per shift) and/or Sunday (£104.20 per shift) is applicable, • You may be eligible for a welcome bonus of £1,500.*, • 22.5 days annual holiday (plus bank holidays), rising with service and with the option to purchase more., • An excellent company matched pension scheme and financial benefits., • The chance to develop your career, including a customised annual training and development plan., • PPE and image clothing supplied (including overalls and steel toe capped boots)., • Exclusive discounts on shopping, tech, travel, days out and socialising for you and the family., • The chance to work for the Environmental Fleet of the Year 2024. *Payments are made in instalments and subject to terms and conditions. A bit about the role With a Fleet of over 49,000 vehicles, including traditional fuel and electric vehicles, LCVs and HGVs, maintaining our vehicles is a true team effort. We’re investing in modernising our fleet, giving you the opportunity to work on a variety of makes and models. There’s never been a better time to join Royal Mail as a Vehicle Technician. • You’ll perform a full range of inspections, diagnostic, maintenance, and repair procedures on a range of vehicles, trailers, and mechanical equipment., • You’ll use your own personal toolkit to undertake routine maintenance and repair light / heavy goods vehicles., • You’ll also have access to specialist tooling and shared equipment in our modern, fully equipped workshops. A bit about you • Qualified mechanic: you’re fully qualified to an advanced level (IMI Level 3 in Light or Heavy vehicle or equivalent). You’ve got your own toolkit for standard repairs., • Varied vehicle experience: Proven Vehicle Technician experience working on a wide range of vehicles, for example LCV / HGV., • Valid UK driving licence: You hold a full manual UK driving licence, preferably an HGV licence with trailer experience., • High working standards: you take pride in your work and do what is necessary to make sure the job is done effectively., • Flexible to service demands: you’re able to work on a flexible shift rota. You’re always willing to support your team where necessary. Interested? Click ‘Apply Now’ to make sure you don’t miss out of this fantastic opportunity. Trust is the foundation of everything we do at Royal Mail. We aim to be transparent about the qualities we seek and build trust from the start of your journey with up. Your interview is the first step, and we want you to shine. To help you prepare, we’ll provide you your interview questions in advance. This ensures you can present your best examples. At Royal Mail Group, we value trust and our people. Royal Mail takes pride in our diverse employee network groups, which actively promote belonging and foster a positive work environment. Our unwavering commitment to inclusion means that we’re passionate about our people representing the communities we serve. If you require any adjustments during the application and hiring process, please share the details in your application. Additionally, we’re proud to be Forces family friendly and a Gold signatory of the Armed Forces Covenant. We welcome applications from ex-Armed Forces personnel, reservists, veterans, cadet instructors, and military spouses/partners. For more information on Royal Mail Group and our values please click here:

Job reference: 332372 Location: North London Workshop, Unit A, Kentish Town Business Park, Regis Road, London, NW5 3RR Are you looking for stability and variety in your next move? Join the largest, and greenest, fleet operator in the UK and take on a new challenge in a commercial vehicle workshop environment. We’re recruiting an IMI Level 3 qualified mechanic at North London Workshop on a Permanent contract, with the potential to earn up to £60k including overtime. Working Hours: Full time - 39.5 hours per week (excluding meal breaks). Three week rotating shift pattern; week 1: 06:00 - 14:30, week 2: 06:00 - 14:30 and week 3: 13:30 - 22:00) Saturday working will be required on a rotational basis once every 3 weeks. This workshop is not currently operational on a Sunday. What’s in it for you? • Salary: £44,345 per annum plus a shift allowance of £87.58 per week when working the 13:30 - 22:00 shift., • Additional weekend supplement on Saturday (£52.10 per shift) and/or Sunday (£104.20 per shift) is applicable, • You may be eligible for a welcome bonus of £1,500.*, • 22.5 days annual holiday (plus bank holidays), rising with service and with the option to purchase more., • An excellent company matched pension scheme and financial benefits., • The chance to develop your career, including a customised annual training and development plan., • PPE and image clothing supplied (including overalls and steel toe capped boots)., • Exclusive discounts on shopping, tech, travel, days out and socialising for you and the family., • The chance to work for the Environmental Fleet of the Year 2024. *Payments are made in instalments and subject to terms and conditions. A bit about the role With a Fleet of over 49,000 vehicles, including traditional fuel and electric vehicles, LCVs and HGVs, maintaining our vehicles is a true team effort. We’re investing in modernising our fleet, giving you the opportunity to work on a variety of makes and models. There’s never been a better time to join Royal Mail as a Vehicle Technician. • You’ll perform a full range of inspections, diagnostic, maintenance, and repair procedures on a range of vehicles, trailers, and mechanical equipment., • You’ll use your own personal toolkit to undertake routine maintenance and repair light / heavy goods vehicles., • You’ll also have access to specialist tooling and shared equipment in our modern, fully equipped workshops. A bit about you • Qualified mechanic: you’re fully qualified to an advanced level (IMI Level 3 in Light or Heavy vehicle or equivalent). You’ve got your own toolkit for standard repairs., • Varied vehicle experience: Proven Vehicle Technician experience working on a wide range of vehicles, for example LCV / HGV., • Valid UK driving licence: You hold a full manual UK driving licence, preferably an HGV licence with trailer experience., • High working standards: you take pride in your work and do what is necessary to make sure the job is done effectively., • Flexible to service demands: you’re able to work on a flexible shift rota. You’re always willing to support your team where necessary. Interested? Click ‘Apply Now’ to make sure you don’t miss out of this fantastic opportunity. Trust is the foundation of everything we do at Royal Mail. We aim to be transparent about the qualities we seek and build trust from the start of your journey with up. Your interview is the first step, and we want you to shine. To help you prepare, we’ll provide you your interview questions in advance. This ensures you can present your best examples. At Royal Mail Group, we value trust and our people. Royal Mail takes pride in our diverse employee network groups, which actively promote belonging and foster a positive work environment. Our unwavering commitment to inclusion means that we’re passionate about our people representing the communities we serve. If you require any adjustments during the application and hiring process, please share the details in your application. Additionally, we’re proud to be Forces family friendly and a Gold signatory of the Armed Forces Covenant. We welcome applications from ex-Armed Forces personnel, reservists, veterans, cadet instructors, and military spouses/partners. For more information on Royal Mail Group and our values please click here:

An offshore transmission owner operator is strengthening its asset management capability to support the operation of high voltage (HV) offshore transmission assets within the UK OFTO market. This role sits within a lean owner-operator model and focuses on the technical asset management of offshore transmission infrastructure as assets transition fully into operations. The role The Asset Engineer will support the safe, compliant, and high-performing operation of offshore transmission assets, working closely with outsourced O&M providers, advisors, and internal stakeholders. Key responsibilities • Day-to-day technical asset management of HV offshore transmission assets, • Oversight of outsourced O&M providers and contractor performance, • Technical governance across offshore substations, export cables, and grid connection assets, • Ensuring HSE, regulatory, and compliance standards are met, • Identification and mitigation of operational and asset risks, • Incident management, reporting, and continuous improvement initiatives, • Stakeholder engagement with advisors, insurers, regulators, and system operators Background and experience • Electrical or power engineering background, • Experience managing HV transmission assets such as offshore substations, export cables, protection and control systems, or switchgear, • Exposure to offshore wind, OFTOs, utilities, or owner-operator environments, • Strong understanding of electricity transmission, grid interfaces, and contractor-led O&M models, • Comfortable working in lean teams with extensive use of external service providers Location UK based. Hybrid working, with a London presence typically required. If you have experience in offshore transmission or HV asset management and are open to a confidential discussion, please apply or connect directly. Keywords: Asset Engineer, Offshore Transmission, HV, OFTO, Asset Management, Offshore Substation, Export Cables, Electricity Transmission, Offshore Wind.

Operator Renewables / Oil&Gas /CCUS / Hydrogen / Wind / FPSO / £30k - £45k plus 20 % bonus holidays pension Hybrid 2 days office Responsibilities • Support offshore structural engineering across feasibility, FEED, troubleshooting and decommissioning phases., • Design metallic offshore structures (fixed platforms, floating topsides) and develop FEA models., • Design foundation elements including piles and mud mats., • Assess and re-design existing structures, life-extension studies and inspection plans., • Prepare technical documents: reports, specifications and scopes of work., • Provide technical input for drawings and attend coordination meetings., • Work closely with internal teams and other disciplines throughout project delivery., • Liaise with clients, shipyards, contractors and certification bodies., • Ensure compliance with offshore design standards and HSEQ requirements. Knowledge & Experience 1- 3 Years exp ONLY • Familiarity with structural and FEA software., • Experience with DNVGL SESAM or ANSYS is an advantage., • Proficient in Microsoft Office and AutoCAD. Candidates must have right to work in the UK

Hiring: Data Scientist – Contract (Inside IR35) Location: Waterside, UK Role Type: Contract Role Title: Data Scientist Role Overview We are looking for a Data Scientist to join a full-stack product squad delivering operations decision-support software. This role focuses on building industrialised optimisation and machine learning models, working end-to-end from problem definition to production deployment. You will collaborate closely with product, engineering, and business stakeholders to deliver high-impact, data-driven solutions. Key Responsibilities • Develop data pipelines, machine learning, and optimisation models in Python, • Build and industrialise ML/optimisation algorithms using best-practice software engineering principles, • Implement automated data cleaning pipelines and workflow orchestration (e.g. Dagster), • Integrate ML/optimisation models into full product stacks (data ingestion, UI, orchestration), • Deploy solutions using CI/CD in a cloud environment, • Build robust logging, testing (unit/regression), and error-handling frameworks, • Analyse adoption, performance, and business value of deployed models, • Engage with business stakeholders to gather requirements and feedback, • Contribute to Agile squad ways of working, code reviews, and technical documentation Required Skills & Experience • Strong knowledge of machine learning and/or optimisation techniques, • (Regression, Tree methods, Clustering, Linear / Mixed-Integer Programming, Heuristics), • Strong Python experience (scikit-learn, pandas, numpy, optimisation libraries), • Experience building production-ready ML or optimisation solutions, • Solid understanding of CI/CD, Git version control, and cloud platforms (AWS preferred), • Strong data engineering skills in Python and SQL, • Experience with automated testing (unit, integration, end-to-end), • Ability to communicate complex technical concepts to non-technical stakeholders Nice to Have • Experience with MLflow, DVC, SageMaker, • Workflow orchestration tools (Dagster / Airflow), • Containerisation (Docker, ECS), • Domain experience in transportation, airlines, operations, or network optimisation Qualifications • Master’s degree in Data Science, ML, Operational Research OR, • 2+ years of highly relevant industry experience, • 0–2 years experience working on production ML/optimisation products at scale

Are you an AI engineer with strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+, the company partners with global clients across finance, energy, media, and tech. From hedge funds to energy and health-tech, their projects are diverse and technically challenging. With strong client demand and deep partnerships (including OpenAI), the team is scaling fast across the UK, Singapore, and Australia. As a Senior Applied AI Engineer, you’ll take ownership of designing and deploying AI-powered applications that solve real client problems. You’ll work across full-stack delivery, from architecture to production deployment, collaborating with cross-functional teams and mentoring other engineers. Key Responsibilities • Build and deploy scalable AI tools using Python and LLM APIs, • Design end-to-end agentic and RAG-based solutions for enterprise use, • Own delivery from proof-of-concept through to production, • Work with cloud-native architectures (e.g. AWS Lambda, Step Functions), • Lead and guide junior engineers within project teams Key Details • Salary: £100,000–£130,000 + benefits, • Working model: Hybrid (3 days/week in London office), • Tech stack: Python, LLMs (OpenAI/Claude), Docker, CI/CD, microservices, AWS If you're a strong backend or platform engineer passionate about GenAI and excited to ship high-impact tools, this is the opportunity to step into it. Budget • Salary range: £100k–£130k base, • Benefits: Standard package, • Sponsorship: Yes, • Hybrid: 3 days/week (London HQ) Note: this role cannot sponsor Interested? Please apply below.

Senior Machine Learning Scientist – AI Computational Biology (Remote, UK) Location: Remote (UK-based, London time zone) Type: Full-time Focus: Genomics, single-cell biology, production ML systems ( RNA-Seq AND WGS) The Opportunity We’re building production-grade computational methods that turn complex biological data into robust, interpretable biomarkers used daily to advance cancer research and drug development. This is not a purely exploratory research role. You’ll take true end-to-end ownership of methods that sit between raw omics data and biological interpretation — designing them, stress-testing them, and running them reliably in production. If you enjoy combining deep machine learning, real biological signal, and strong engineering practices, this role is built for you. What You’ll Do Own production biomarker methods • Design and implement genomics and transcriptomics pipelines (RNA-seq, single-cell, WGS/WES)., • Turn complex molecular data into scalable, reproducible biomarkers with clear assumptions and limitations., • Develop and fine-tune deep learning models for biological representation learning (e.g. single-cell, multimodal data)., • Prototype AI-driven approaches (including LLMs and agentic workflows) for hypothesis generation and interpretation., • Track new approaches from literature and open source., • Implement, benchmark, and critically assess robustness and generalisability., • Drive adoption decisions based on evidence, not novelty. What We’re Looking For Background • MSc / PhD (or equivalent industry experience) in Machine Learning, Computer Science, Computational Biology, Bioinformatics, or related field., • Strong Python skills with experience building complex ML or data-processing pipelines., • Hands-on experience with omics data (single-cell RNA-seq, bulk RNA-seq, WGS/WES, or multimodal genomics)., • Deep learning experience (e.g. transformers, VAEs, contrastive learning, GNNs)., • Familiarity with production-quality practices:, • Version control (Git), • Reproducibility & testing, • Enjoys owning methods long-term, not just publishing or prototyping., • Comfortable working across biology, ML, and engineering., • Able to clearly explain trade-offs to both technical and non-technical stakeholders.

C++ Lead Engineer | HFT Trading Systems | London | Up to £220,000 + Bonus Albert Bow is working with a systematic trading firm building high-performance, latency-critical systems powering global strategies. They’re looking for a senior C++ engineer to lead a segment of their trading infra team , taking ownership of architecture, optimisation, and system design while collaborating across trading, quant research, and infra. This is a full-stack systems engineering role: from kernel tuning and memory models to live strategy deployment and technical mentorship. Responsibilities • Architect and build performance-critical, low-latency trading systems in modern C++, • Lead technical strategy, code reviews, and engineering standards across the team, • Optimise across the stack: CPU cache usage, memory layout, NIC tuning, networking, • Translate quant research into robust, deployable code with full-stack awareness, • Mentor engineers and drive team-wide improvement in system design and debugging, • Coordinate closely with trading and quant research teams on feature delivery and infra upgrades Requirements • 6+ years of professional C++ development with deep systems experience, • Proven leadership in engineering, architecture, technical direction, mentoring, • Solid grasp of OS internals, CPU architecture, and systems-level performance, • Experience building fault-tolerant, throughput-heavy applications, • Strong communication skills, able to align across trading, research, and infra Nice to Have • Background in low-latency or high-frequency systems, • Python for scripting, research pipelines, or glue code, • Experience with networking (TCP, UDP, L1/L2 stack), • Familiarity with x86 assembly, memory barriers, and CPU profiling, • Participation in CTFs or algorithmic programming contests (IOI, ICPC, Hashcode) What’s on Offer • Senior technical ownership in a lean, high-impact trading team, • Up to £220,000 base salary + bonus, • Health insurance, sports reimbursement, tuition and training budget, • Flat team structure with direct access to CTO and trading leads, • Flexible workflow and remote setup across Europe, • Minimal process, no red tape, and full engineering autonomy If this sounds like a fit please apply directly. Applicants must have the right to work in the UK.

Artificial Intelligence Engineer London, Marylebone (Hybrid / Onsite) Competitive salary + significant equity Do you want to build the "Force Multiplier" for a £400B industry? We are at the forefront of the shift toward Agentic AI—systems that use reasoning loops to independently execute complex business processes. At Prolo, one engineer building an effective agentic fleet can automate the output of an entire traditional department. This is a rare opportunity to join a category-defining, seed-funded startup from the ground up, where your work won’t just ship features—it will redefine how millions of professionals in the construction industry plan and operate. Why Join Prolo? • Founding Team Impact: Shape the product, architecture, and engineering culture from day one., • Technical Depth: Work with cutting-edge AI (OpenAI, Semantic Kernel), graph databases (Neo4j), and modern infrastructure., • Competitive Compensation: Benefit from a competitive salary plus significant equity as an early stakeholder., • Domain Expertise: Gain deep insights into the £400B+ UK construction industry while delivering real business impact., • Fast Iteration: Ship to production daily, receive direct user feedback, and see your work in customers' hands immediately., • Growth Opportunity: Lead and scale engineering practices as we grow, with the potential to lead specialized teams., • Collaborative Environment: Work directly with the founders and have a seat at the table for product strategy., • Modern Stack: No legacy baggage—build with best-in-class tools from the start. About Prolo We’re reinventing procurement for the construction industry using AI. Our conversational platform allows customers to source materials effortlessly across chat, email, and phone, saving time and money with zero setup. We are a small, ambitious team that moves fast and values high-trust collaboration. The Role As a Artificial Intelligence Engineer, you will be our technical authority on Agentic AI. You will design and deploy sophisticated multi-agent systems, proving concepts through rapid prototyping and scaling them into production-grade solutions. Key Responsibilities: • Agentic AI Engineering: Develop multi-agent systems using frameworks like LangGraph or CrewAI for autonomous research and automated coding., • Advanced RAG & Memory: Build sophisticated Retrieval-Augmented Generation (RAG) pipelines and long-term model memory., • Model Optimization: Fine-tune open-source models (e.g., Llama 3/4) to reduce latency and operational costs., • LLMOps: Implement automated "Evals" to measure hallucination rates and tool-calling accuracy., • Expert Python & TypeScript: Deep proficiency in Python for production AI and strong technical fluency in TypeScript., • AI Frameworks: Hands-on experience with some of the following LangChain/LangGraph, LlamaIndex, PyTorch, and FastAPI., • Modern Infrastructure: Experience with AWS Bedrock/SageMaker and using Docker/Kubernetes to scale agent instances., • RAG Expertise: Proven experience building RAG systems; experience with Graph-RAG (e.g., Neo4j) is a major plus., • Production Pedigree: Demonstrable experience owning the design and delivery of complex AI systems in live customer environments. Apply today and help us build the future of construction at Prolo. Prolo Ltd is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds. NO AGENCIES PLEASE

Senior Machine Learning Scientist A fantastic opportunity for a Senior Machine Learning Scientist to work for a health-tech software company developing advanced machine learning models used within clinical research. The organisation applies modern machine learning techniques to complex medical datasets to support better understanding of patient outcomes and treatment response. This is a research-focused role, ideal for candidates who enjoy developing novel deep learning approaches and translating academic research into applied machine learning solutions. You will work on large-scale models and high-performance compute, with the opportunity to publish research while collaborating with engineering teams to ensure work can be taken forward into real-world use. Location: 1 day per week in London, remainder remote (UK based) Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits Requirements for Senior Machine Learning Scientist • Strong experience in research and development of computer vision machine learning models, • Experience implementing state-of-the-art deep learning models in PyTorch, • Experience training large models across multiple GPUs and compute nodes, • Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation, • Experience with deep learning for computer vision, ideally including 3D imaging and or self-supervised learning, • Strong Python and PyTorch skills, with the ability to read and write high-quality training code, • Experience writing and maintaining production-grade Python code, including optimising training performance, • Experience working with modern development workflows including pull requests, code reviews, documentation and ticketing, • Experience working in cloud environments, • Strong Linux and Git skills alongside modern Python development tooling, • Proactive, self-sufficient and communicative working style, • Strong English written and verbal communication skills, • MSc or PhD in Computer Science or a closely related subject Responsibilities for Senior Machine Learning Scientist • Research and develop advanced deep learning and computer vision models applied to complex medical data, • Work on self-supervised pre-training and supervised learning tasks such as segmentation, classification and regression, • Translate academic research into robust and usable machine learning solutions, • Publish research outcomes in leading conferences and journals, • Collaborate with engineering teams to support downstream deployment and application of models, • Keep up to date with developments in machine learning research and apply them where appropriate What the role offers • A genuinely research-led machine learning position, • Opportunity to publish high-quality research, • Exposure to large-scale datasets and high-performance compute environments, • Hybrid working with a remote-first setup, • Competitive salary with flexibility for exceptional candidates Applications If you would like to apply for this unique Machine Learning Scientist role then please send your CV via the relevant links. We’re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website). Keywords: Senior Machine Learning Scientist / Machine Learning Scientist / Research Scientist / Applied Research Scientist / Machine Learning Researcher / AI Research Scientist / Computer Vision Scientist / Deep Learning Scientist / AI Scientist / ML Research Engineer / Python / PyTorch / Deep Learning / Computer Vision / 3D Imaging / Volumetric Imaging / Self-Supervised Learning / Representation Learning / Foundation Models / Segmentation / Classification / Regression / GPU Training / Distributed Training / Multi-GPU Training / High Performance Computing / Cloud Machine Learning / Linux

JDL Recruitment are delighted to be partnering with a leading AI focused Data Centre Developer as they expand their design team in the UK with a Design Manager. This is a remote role with approximately 20% travel to sites across Europe and on a UK employment contract. Responsibilities • Lead the full lifecycle of data centre and infrastructure design, from concept development through construction drawings ensuring solution supports dense AI compute, low-latency workloads, and high-efficiency operations., • Collaborate closely with internal stakeholders (Construction, Cost, Engineering, In-Country Teams) and external consultants (Architects, MEP, CSA) to align design with business objectives and needs., • Oversee and manage permitting processes across multiple European jurisdictions; coordinate with local consultants and public authorities to secure approvals., • Design and adapt facilities to accommodate advanced compute clusters, high-power electrical infrastructure, and liquid cooling solutions (e.g., immersion and direct-to-chip). Familiarity with modern AI compute architecture is a strong advantage., • Manage internal alignment and external consultant teams, ensuring cohesive, accurate, and high-quality design deliverables that meet technical and operational standards., • Review design packages for code compliance, constructability, and performance. Identify risks early and implement design changes to maintain project trajectory., • Maintain project schedules, deliverable tracking, and clear documentation workflows using BIM and cloud-based collaboration tools. Requirements • 5+ years in design or design management, preferably in data centre, mission-critical, or high-performance computing projects., • Proven experience delivering permits across European jurisdictions., • Deep knowledge of MEP systems, high-density power, and infrastructure suited for AI compute., • Comfortable working across teams and time zones, including remote and hybrid models., • Fluency in English is required; other European languages are an advantage., • Proficient with Revit, Navisworks, and BIM-based workflows.

Analytics Engineer Remote UK Up to £65000 plus benefits This is an exciting chance to join a growing data function during a major modernisation phase. You will take real ownership of dbt development, help shape a new data platform, and play a key role in building reliable, scalable analytics foundations. The Company They are a digital subscription business operating a two sided online marketplace with a strong global customer base. Data sits at the centre of their product and growth strategy, and they are currently developing a modern cloud based architecture. The data team has been expanding and now includes specialists across data engineering, analytics engineering and data science, creating a collaborative environment built for innovation. The Role You will • Own and develop dbt models following best practice and internal standards, • Optimise and maintain dbt pipelines to ensure stable, high performing transformations, • Oversee releases into production and support robust governance, • Work closely with data engineering, data science and business stakeholders, • Contribute to maturing the data stack and improving how insights are delivered, • Support the development of medallion architecture and wider modelling strategy, • Play a key role in the onboarding and optimisation of a new Databricks environment Your Skills and Experience You will need • Strong commercial experience working with dbt in a production setting, • Solid SQL skills and experience within a modern cloud data stack, • Proven ability to build, optimise and maintain analytics models, • Good understanding of data modelling concepts and Medallion style approaches, • Experience within a digital, online or web based business, • Ability to work collaboratively across technical and non technical teams How to Apply If you are interested in this Analytics Engineer role, please apply with your CV.

💼 Position: Senior Data Scientist 💵 Salary: £70,000 - £80,000 base + 12% flexible benefits 🌍 Location: London, UK (Hybrid – 3 days in office, 2 remote) An FTSE-listed global FinTech company is looking to hire a Senior Data Scientist in their Trading & Operations function, with deep experience leading high‑impact data science projects end‑to‑end, from problem framing and exploratory analysis through modelling, experimentation and working with MLE. You’ll collaborate with data engineering, platforms, web, messaging, analytics, marketing, risk and product. This is a key senior hire, driven by strong and growing demand for data science across the business. What you'll be doing: • Lead end-to-end data science projects: problem framing, EDA, modelling, experimentation, and working with MLEs to deploy into production, • Apply statistics, A/B testing and causal inference to inform product, growth, commercial and risk decisions, • Work with diverse structured and unstructured data across client behaviour, operations and financial domains, • Build advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP / text analytics, time-series forecasting, & generative AI use cases, • Monitor model performance and design experiments tied to clear hypotheses, • Translate ambiguous business questions into measurable, actionable solutions, • Coach and mentor junior data scientists, raising the bar on technical quality, delivery and communication What we’re looking for: • 5+ years’ experience applying data science and ML to real-world business problems, • Strong grounding in statistics, experimentation and analytical reasoning, • Proven experience building predictive models and taking them to production, • Ability to communicate complex analysis clearly to non-technical stakeholders, • Comfortable working with imperfect, large-scale data in a fast-moving environment, • Strong Python and SQL skills, • Cloud experience (ideally GCP, but transferable skills welcomed) Nice to have: • Experience in financial services (not essential — support and training provided), • Exposure to marketing analytics or MMM projects, • Master’s level education in Data Science, Machine Learning or a related field What’s in it for you: • Competitive base salary + 12% flexible benefits, • Private medical cover (including family), • Life insurance, • Gym contribution, • 25 days holiday + birthday off + 2 volunteering days (28 total), • Buy/sell holiday options, • Unlimited access to an online learning platform Don't miss out on this incredible career opportunity! Apply now to become part of a dynamic team, or send an up-to-date resume to the details below. +1 212 970 7603

SC Cleared / SC Clearable Machine Learning Engineers – Contract I’m currently supporting a UK-based organisation delivering advanced technical solutions into highly regulated environments across government, defence and national infrastructure. We’re looking to speak with Machine Learning Engineers interested in contract opportunities (£500–£650 per day). This role is focused on traditional Machine Learning, with a strong emphasis on Computer Vision — not GenAI / LLM work. What we’re looking for: • 3+ years’ commercial experience in Machine Learning, • Strong experience in Computer Vision (e.g. object detection, image classification, segmentation), • Experience building, training and optimising ML models, • Python (NumPy, Pandas, scikit-learn) and frameworks such as TensorFlow or PyTorch, • Experience deploying models into production environments (cloud platforms, Docker, CI/CD pipelines) Clearance requirements: • Active SC Clearance, or, • SC Clearable (must have resided in the UK continuously for the last 5 years) These roles offer the opportunity to work on impactful, real-world projects where robust ML solutions are critical. If you’re exploring new contract opportunities and meet the above criteria, please apply or drop me a direct message.

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Employee Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free hot breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Key Responsibilities • Act as the digital design authority for all CAD, 3D, and BIM deliverables across power and data centre programmes., • Develop, coordinate, review, and approve 2D drawings, 3D models, and BIM outputs in accordance with BIM Execution Plans and project requirements., • Lead multidisciplinary model coordination across mechanical, electrical, structural, and architectural disciplines to ensure coordinated, clash-free, and constructible designs., • Establish, manage, and enforce BIM governance standards, including ISO 19650 compliance, model naming conventions, data structures, and information management processes., • Manage BIM maturity across all project stages, ensuring appropriate Levels of Detail (LOD) and Levels of Information (LOI) are achieved., • Produce and manage digital layouts and models for data centre environments, generator enclosures, and balance-of-plant systems., • Coordinate model federation, clash detection, and issue resolution using BIM coordination tools such as Navisworks., • Ensure digital models accurately reflect approved engineering designs, interfaces, access requirements, and maintenance strategies., • Support concept design, optioneering, and spatial planning activities using 3D and BIM tools., • Prepare and manage digital handover deliverables, including as-built models, drawings, and asset data to support O&M manuals and client requirements., • Provide technical oversight and quality review of CAD and BIM outputs produced by external designers and subcontractors., • Support construction and installation activities by resolving model-related issues and providing accurate, up-to-date digital information., • Drive continuous improvement in BIM maturity, automation, standardisation, and digital best practices., • Undertake additional technical or departmental tasks as required to support broader business objectives. Qualifications & Experience • Proven experience in a CAD, 3D, or BIM engineering role within engineering, construction, data centre, or power generation environments., • Strong proficiency in CAD and Revit, with experience using BIM coordination and clash detection tools such as Navisworks., • Solid understanding of BIM principles, information management, and governance in line with ISO 19650 standards., • Demonstrated experience delivering models to defined Levels of Detail (LOD) and Levels of Information (LOI)., • Experience producing coordinated models for generator containers, data centre layouts, and balance-of-plant systems., • Ability to manage multidisciplinary interfaces while maintaining model quality and integrity under programme pressure., • Experience supporting construction, installation, and digital handover deliverables., • Strong organisational skills with a structured, detail-focused, and quality-driven approach., • Clear and confident communicator, able to challenge inputs and uphold digital design standards., • Strong stakeholder management skills, working collaboratively with engineering, project, and site teams., • Right to work in the UK is essential

Fire – Principal or Associate Engineer Glasgow, Bristol, Manchester or London Competitive salary + benefits We have an exciting opening for a Principal or Associate Fire Engineer to join our firm in our Glasgow, Bristol, Manchester or London offices. About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, electric vehicle salary sacrifice scheme, stock options, and up to 30 days of annual leave. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. Hoare Lea’s Fire Engineering group is a leading team of experienced fire safety experts, many of whom are Chartered Engineers through the Institution of Fire Engineers. Being part of one of the UKs largest building engineering consultancies, we benefit from collaborating with some of the best engineers in the business, with access to state-of-the-art technical support, and have the opportunity to work on some of the UKs largest and most high profile projects as part of a multi-disciplinary team. However, the fire team also works independently on fantastic projects, with many in our team having developed long-term relationships with many great clients. Heathrow’s Terminal 2, Doha’s new metro, the vast £1billion Elephant and Castle redevelopment in London, the extension to the ExCeL centre and the Royal Hospital for Children and Young Persons in Edinburgh are examples of some of the amazing projects where we have led the Fire Engineering design with other Hoare Lea disciplines. As part of long standing Fire Engineering relationships with external clients, we have led the fire safety design on seven of Manchester’s ten tallest buildings (including the UKs tallest residential tower), developed the current fire strategies for most of the UKs largest airport terminals, and designed two world cup stadia. A particular area where we have invested heavily is training and research. We have numerous research groups within the team to ensure that we remain at the cutting edge of our discipline; this includes computational and numerical modelling, emerging fire risks, new techniques and even fire testing – we recently led the design and implementation of two of the world’s largest ever cross laminated timber (CLT) compartment fire tests in France, to successfully validate our detailed calculations for a highly sustainable timber office building project. In addition to Hoare Lea’s best-in-class training, the fire group have developed extensive additional training and development opportunities – weekly training sessions for everyone, regular training away-days, innovation days and access to external training and conferences. We place a particular emphasis on enabling our team to achieve Chartered Engineer status – we have developed a programme for this and numerous fire engineers have obtained their CEng with us over the years. This is all enabled by our very experienced and highly qualified team. We are active in a number of key organisations such as the Society for Fire Protection Engineers (SFPE), Smoke Control Association, BSI Group and Institution of Fire Engineers. Why Work For Us? The Fire Engineering group’s strategy is simple, we want to do world-class fire engineering on the best projects with great clients. We want the team to enjoy the projects they do and who they work with, so our portfolio is of high quality, varied and really interesting. As part of Hoare Lea’s larger team of built-environment specialists, we have access to some of the UKs largest and highest profile projects. However, we also work independently and have developed long-term relationships with some great clients – there is no greater personal satisfaction from winning repeat projects from clients who think you’ve done a great job and like working with you. We are strong because we recognise that everyone has different skills to offer – our team includes ex fire service, building services and building control professionals, and engineers with degrees in physics, mechanical engineering, chemical engineering, materials science, forensics – oh, and fire engineering. The opportunities we provide for training and development are second-to-none. We invest significantly in this, and our aim is to ensure our team can achieve Chartered Engineer status. We have a highly experienced and qualified team to ensure that this can happen. We really want everyone to have the right work-life balance and to enjoy their work. We enable this by having a great benefits and flexible working package – including the ability to work a 9-day fortnight, and by choosing only the best projects for great clients, supported by extensive training and experienced colleagues. We are a really friendly, supportive and inclusive team, and enjoy numerous socials with our office colleagues and with the fire engineering team. The Role • Hoare Lea’s Fire Engineering team focuses on the fire safety design of buildings., • We work with colleagues within Hoare Lea as part of a multi-disciplinary team, and also have a significant portfolio of long-term external clients., • Our projects are principally based in the UK, and a detailed understanding of UK regulations and design guidance is desirable., • Able to work with, and have an appreciation of the integration of, other construction professionals’ requirements for the project., • Ensuring open communication among all project team members so that feedback is provided and acted upon efficiently in a timely manner., • Attending design team meetings, design workshops, client meetings and site meetings., • Travel to clients or projects in the UK, and occasionally internationally, according to project demands., • Working knowledge of software analysis tools – evacuation, smoke and fire modelling, heat radiation models and structural fire modelling. What We Are Looking For • Experience working within a fire engineering consultancy role., • A relevant degree or equivalent qualification in Engineering, Building Services, Maths, Architecture, or Physics, with a keen interest in Fire Engineering. You will have a good technical knowledge in the primary discipline of fire safety design., • You will be IT literate with a working understanding of fire modelling software analysis tools., • You should have excellent communication skills and an interest in working in a team environment., • You will have the ability and commitment to effectively deliver to demanding timescales, and have good organisational and planning skills. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

About Buildots: Buildots is transforming construction management with AI and computer vision. Our AI-powered SaaS platform automates on-site progress tracking, giving construction teams the tools to plan smarter, improve efficiency, and cut costly delays by up to 50%. The $13 trillion construction industry has seen little disruption in the past 150 years. Until now. Backed by leading VCs and industry pioneers, Buildots enables a new, performance-driven approach. Deployed on hundreds of projects across North America, Europe and the Middle East, Buildots is already reshaping the future of the world's largest industry, and we're on track for rapid expansion in 2026. Buildots’ customers include top global contractors, consultants and owners – Sir Robert McAlpine, Kier, Wates, Intel and Berkeley Homes, to name a few. What is Construction Solution in Buildots: The Construction Solution team is a prominent component of the Buildots Operations department. The team is responsible for the creation of our clients' construction projects within the Buildots system and managing the technical relationship with our clients over the life of the project. The role will involve interpretation of construction documentation (models, plans and schedules), discussion with our clients and work with internal design tools to produce the final Buildots digital twin of our clients project. The Construction Solution team in Buildots is staffed by construction professionals (project managers from top UK contractors) with site experience, who bring their expert site and management knowledge to the role. The team have extensive experience in site and trade management and use this knowledge to create a holistic understanding of how a construction project is built. The role is ideally suited to construction professionals with management experience who are looking to enter the technology industry whilst still retaining and reinforcing their existing expert construction knowledge. What you'll do: • Bring your knowledge to the creation of the ‘Buildots solution’ for global construction projects, • Conduct frequent construction-focused technical discussions with our customers, • Be a construction expert within the company to guide other internal teams, • Work by Buildots design guidelines combined with clients’ specific requirements to create a digital twin that allows them to maximise value of the Buildots Product and serves the client’s needs., • Understand the complexities of specific project’s construction methodologies to allow you to create a Buildots system that accurately represents how the client will be building the project, • As part of the overall Construction Solution team, use your experience to constantly contribute to the optimisation of our unique design methodology to improve quality and increase efficiency, • Take a prominent part of our clients’ implementation stage, by meeting our clients at discovery sessions, understanding their specific needs, while representing Buildots product and strategy., • Collaborate with various teams, such as Account Management, Customer Success and Product, in order to support the project and our clients' needs., • Manage aspects of the Construction Solution teams work and contribute to the delivery of internal KPI's. Requirements: • 5 years of experience on construction projects in a mainly site based role, • Working knowledge of MEP systems and installations, • Ability to effectively communicate with construction professionals on site and remotely, • Engineering or construction management (or equivalent) degree, • Working knowledge of 3D software and BIM, • Comfortable with working in a fast paced, dynamic and changeable environment, • Professional verbal and written communication skills in English, • Great interpersonal skills & interface management, • Strong organisational, time management, and problem-solving skills, • Tech savvy, proficient in computer applications, MS Office and G Suite, • Be able to attend the London office 3+ days per week Advantages: • Experience working on residential, commercial or industrial building projects, • Experience with Navisworks, • Experience with Microsoft Project, Power Project or P6, • French/German language skills If you don’t meet every single requirement, we still encourage you to apply. Your unique experiences, skills, and passion may be exactly what we’re looking for. *By submitting your application, you agree that Buildots will process your personal data in accordance with ___.

Service Asset & Configuration Management SME Canary Wharf, UK Hybrid (2 days a week) Inside IR35 Role Overview We are seeking an experienced Service Asset & Configuration Management SME with strong hands-on expertise in defining Configuration Management and IT Asset Management processes. Experience in data governance and ensuring CMDB data issues are reported and assigned to the data owners for remediation. A strong knowledge of ServiceNow and understanding the key components of the CMDB and the features to help keep data accurate. Key Responsibilities • Strategy & Policy: Input into the SACM strategy across the organization, ensuring alignment to business objectives. Implementation of the strategy and definition of SACM policies., • Process & Procedures: Define and maintain SACM processes and procedures across the organization with clear roles and responsibilities, covering the whole life cycle of assets and configuration items., • Data Governance: Ensure the key components of data governance are in place including data quality, data rules, lifecycle management, auditing and reporting., • Reporting & Metrics: Create, analyze, & verify CMDB reporting to ensure the CMDB is accurate, to enable key stakeholders to make data driven decisions across the business., • Automation & Continuous Improvement: Proactively look to improve all aspects of the CMDB including processes, tooling and data accuracy. Ensuring the business can trust the data and use it as the single source of truth., • Strong hands-on experience defining Configuration Management & IT Asset Management policies, processes and procedures, • Strong understanding of ServiceNow CSDM, CMDB components and associated data models, • Experience in creating, executing and analyzing CMDB related reporting, • ITIL 4 Foundation, • Strong analytical and problem-solving skills., • Excellent communication and stakeholder management abilities., • Ability to work independently and in a collaborative team environment.

Fire – Engineer or Senior Engineer Glasgow, Bristol, Manchester or London Competitive salary + benefits We have an exciting opening for a Fire Engineer or Senior Fire Engineer to join our firm in our Glasgow, Bristol, Manchester or London offices. Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, electric vehicle salary sacrifice scheme, stock options, and up to 30 days of annual leave. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. Being part of one of the UKs largest building engineering consultancies, we benefit from collaborating with some of the best engineers in the business, with access to state-of-the-art technical support, and have the opportunity to work on some of the UKs largest and most high profile projects as part of a multi-disciplinary team. However, the fire team also works independently on fantastic projects, with many in our team having developed long-term relationships with many great clients. Heathrow’s Terminal 2, Doha’s new metro, the vast £1billion Elephant and Castle redevelopment in London, the extension to the ExCeL centre and the Royal Hospital for Children and Young Persons in Edinburgh are examples of some of the amazing projects where we have led the Fire Engineering design with other Hoare Lea disciplines. As part of long standing Fire Engineering relationships with external clients, we have led the fire safety design on seven of Manchester’s ten tallest buildings (including the UKs tallest residential tower), developed the current fire strategies for most of the UKs largest airport terminals, and designed two world cup stadia. A particular area where we have invested heavily is training and research. We have numerous research groups within the team to ensure that we remain at the cutting edge of our discipline; this includes computational and numerical modelling, emerging fire risks, new techniques and even fire testing – we recently led the design and implementation of two of the world’s largest ever cross laminated timber (CLT) compartment fire tests in France, to successfully validate our detailed calculations for a highly sustainable timber office building project. In addition to Hoare Lea’s best-in-class training, the fire group have developed extensive additional training and development opportunities – weekly training sessions for everyone, regular training away-days, innovation days and access to external training and conferences. We place a particular emphasis on enabling our team to achieve Chartered Engineer status – we have developed a programme for this and numerous fire engineers have obtained their CEng with us over the years. This is all enabled by our very experienced and highly qualified team. We are active in a number of key organisations such as the Society for Fire Protection Engineers (SFPE), Smoke Control Association, BSI Group and Institution of Fire Engineers. Why Work For Us? The Fire Engineering group’s strategy is simple, we want to do world-class fire engineering on the best projects with great clients. We want the team to enjoy the projects they do and who they work with, so our portfolio is of high quality, varied and really interesting. As part of Hoare Lea’s larger team of built-environment specialists, we have access to some of the UKs largest and highest profile projects. However, we also work independently and have developed long-term relationships with some great clients – there is no greater personal satisfaction from winning repeat projects from clients who think you’ve done a great job and like working with you. We are strong because we recognise that everyone has different skills to offer – our team includes ex fire service, building services and building control professionals, and engineers with degrees in physics, mechanical engineering, chemical engineering, materials science, forensics – oh, and fire engineering. The opportunities we provide for training and development are second-to-none. We invest significantly in this, and our aim is to ensure our team can achieve Chartered Engineer status. We have a highly experienced and qualified team to ensure that this can happen. We really want everyone to have the right work-life balance and to enjoy their work. We enable this by having a great benefits and flexible working package – including the ability to work a 9-day fortnight, and by choosing only the best projects for great clients, supported by extensive training and experienced colleagues. We are a really friendly, supportive and inclusive team, and enjoy numerous socials with our office colleagues and with the fire engineering team. The Role • Hoare Lea’s Fire Engineering team focuses on the fire safety design of buildings., • We work with colleagues within Hoare Lea as part of a multi-disciplinary team, and also have a significant portfolio of long-term external clients., • Our projects are principally based in the UK, and a detailed understanding of UK regulations and design guidance is desirable., • Able to work with, and have an appreciation of the integration of, other construction professionals’ requirements for the project., • Ensuring open communication among all project team members so that feedback is provided and acted upon efficiently in a timely manner., • Attending design team meetings, design workshops, client meetings and site meetings., • Travel to clients or projects in the UK, and occasionally internationally, according to project demands., • Working knowledge of software analysis tools – evacuation, smoke and fire modelling, heat radiation models and structural fire modelling. What We Are Looking For • Experience working within a fire engineering consultancy role., • A relevant degree or equivalent qualification in Engineering, Building Services, Maths, Architecture, or Physics, with a keen interest in Fire Engineering. You will have a good technical knowledge in the primary discipline of fire safety design., • You will be IT literate with a working understanding of fire modelling software analysis tools., • You should have excellent communication skills and an interest in working in a team environment., • You will have the ability and commitment to effectively deliver to demanding timescales, and have good organisational and planning skills. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange a introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.

Senior Machine Learning Engineer Location: London, UK About the Role We’re looking for an experienced Machine Learning Engineer to lead the development and training of advanced large-scale language models. In this role, you will be responsible for pushing the performance and reliability of next-generation AI systems, specifically focusing on models that assist with complex real-world tasks. You’ll work closely with cross-functional teams including infrastructure, product and research to shape both the training pipeline and the evaluation of highly capable models. Key Responsibilities • Design and execute large-scale training experiments on multi-GPU and distributed environments using cutting-edge ML frameworks., • Lead both supervised fine-tuning (SFT) and reinforcement learning (RL) workflows to improve model performance on domain-specific tasks., • Build, maintain, and optimise custom training pipelines, including dataset preparation, distributed training primitives, and scheduling of multi-node jobs., • Collaborate across engineering and research teams to align training goals with product priorities and performance metrics., • Troubleshoot training challenges such as stability, scaling issues, and GPU utilisation bottlenecks. What We’re Looking For • Experience: 3–5+ years working in ML engineering or applied machine learning roles, with hands-on responsibility for training and deploying models in production-like environments., • Technical Skills:, • Strong proficiency with PyTorch including distributed training (e.g., DDP/FSDP)., • Practical experience training large sequence models or transformer-based architectures., • Comfortable building and maintaining data pipelines, optimising large datasets, and handling model scaling challenges., • Solid software engineering fundamentals — clean, maintainable code and version control best practices., • System Knowledge: Hands-on experience with multi-node GPU clusters, orchestration tools (e.g., Kubernetes, Slurm) and performance tuning., • Communication: Clear and effective communicator, able to share insights with both technical and non-technical stakeholders. Desirable Qualities • Experience with reinforcement learning workflows and sequence-level reward strategies., • Familiarity with model evaluation tools and benchmarks for large-scale AI systems., • A proactive, collaborative mindset that thrives in a fast-moving environment where innovation and experimentation are central.

Captur helps software understand real world scenes in real-time with an SDK for flexible, on-demand visual recognition. We’re a small, rapidly scaling team backed by top-tier investors; we recently closed a $6M seed round to accelerate product and go-to-market growth. We are global leaders in edge ML and have validated +150M images on-device for enterprise customers such as Lime. Next, expanding as a horizontal platform across use cases that require real-time speed, high volume and coverage across a wide range of mobile devices. Role Snapshot You’ll own core pieces of our Android SDK: performance, stability and developer experience. You’ll profile power, latency and memory, optimise threading and networking, shape public Kotlin APIs and harden telemetry. You’ll also take ownership of production issues surfaced by Solutions Engineering and Customer Success: reproduce, fix the root cause and ship improvements. You won’t handle customer contracting or sales calls; your focus is a fast, stable SDK that makes integrations effortless. In H1, you’ll be partnering with the Head of Mobile and our React Native SDK engineer to deliver the next-generation SDK: translate product requirements into a revised SDK architecture, lead implementation of the key features, run a staged beta and show before→after gains on crash/ANR, latency and battery on our device matrix. Key Responsibilities Performance and reliability • Profile and optimise on-device performance and data paths (battery, CPU/GPU, memory), • Own threading, scheduling and back-pressure; make frame-time and latency predictable across device classes, • Design clear, stable, Kotlin-first public APIs (versioned, well-documented, testable), • Implement best practices for networking, auth and IO; make failure modes deterministic and observable, • Own CI/CD for the Android SDK (GitHub Actions/GitLab CI) and dependency hygiene; prepare release artefacts and hand off to Solutions Engineering for release cadence and publishing, • Partner with the Solutions Engineer: reproduce field issues, write minimal repros, land fixes and verify via dashboards, • Co-design the next generation of the Android Captur SDK for release at the end of Q2, • SDK Engineer owns: code quality, API design, perf, stability, instrumentation, and technical notes for releases, • Solutions Engineer owns: release cadence, artefact publishing, changelogs, customer comms and debug sessions What Success Looks Like (First 3 Months) 30 Days: • Get fully set up, read the codebase and understand how the SDK integrates into customer apps (run the sample integrations end-to-end), • Take on small backlog items and minor bug fixes to gain experience with the SDK, • Own a set of feature requests/changes in the existing SDK from design to merge, • Improve crash reporting and metrics: add any missing telemetry/events needed for clearer root-cause and cleaner dashboards, • Provide meaningful input on core sections of the SDK revamp (review/author proposals, • Become the Android SDK SME day-to-day: work independently with the Solutions Engineer to reproduce issues and land fixes that improve customer experience Core Requirements • Deep Kotlin (3+ years) experience focused on systems-level/SDK work (not UI-heavy app development): threading/concurrency, memory, camera/graphics/IO and performance tooling (Android Studio profilers, Perfetto, Systrace), • Shipped code across hundreds of device models and over 1m monthly SDK sessions with proven strategies to handle device quirks, • Hands-on experience with monitoring tools (Crashlytics/Sentry/Datadog or similar) and adding the right events to enable root-cause analysis (crashes, ANRs, latency), • Experience delivering SDKs via GitHub Actions/GitLab CI with Gradle/Maven, semantic versioning and signed artefacts, maintaining clean migrations and changelogs, • Utilise test-driven development in practice – writing unit and instrumentation tests and standing up integration harnesses around threading/IO, • Networking/auth/API fundamentals tuned for mobile constraints, • Based in the UK (London preferred) and able to work from our London office at least 1 day per week on an ongoing basis Bonus Points • Built or maintained Android SDKs used by external developers (versioning, migrations, deprecations), • Familiarity with common Computer Vision pipelines and ML Ops basics for mobile development, • Practical experience integrating or optimising TFLite/LiteRT for real-time use, • Able to work from our London office 3 days per week during the first 3 months to speed up pairing and knowledge transfer

Are you a CAD professional who takes pride in technical excellence, enjoys coordinating complex MEP designs, and wants to play a key leadership role in project delivery? We’re working with a well-established building services consultancy that is looking to appoint a proactive CAD Manager to lead the production and coordination of high-quality MEP drawings across a diverse portfolio of projects — from refurbishments to large-scale residential, education, and commercial developments. What You’ll Be Doing You’ll sit at the heart of the design process, ensuring that drawings and models are accurate, coordinated, and delivered on time. • Producing coordinated 2D MEP drawings to construction level, • Translating engineers’ mark-ups into clear, high-quality CAD outputs, • Managing drawings, models, worksets, and sheets to agreed standards, • Coordinating across MEP, architectural, and structural disciplines Leadership & Collaboration This is more than a technical role — it’s a leadership position. • Working closely with UK-based engineers to manage workloads and deadlines, • Coordinating and reviewing work from an overseas CAD delivery team, • Mentoring CAD technicians and raising drawing quality across the team, • Supporting engineers in design team and client meetings Quality & Standards You’ll be the guardian of drawing quality and process. • Upholding QA and BIM standards, • Ensuring compliance with Building Regulations, British Standards, and industry best practice, • Managing document control, drawing registers, and issue records What We’re Looking For • 5–10 years’ experience producing MEP drawings in AutoCAD, • Strong understanding of building services and construction coordination, • Background in a small to medium-sized consulting engineering environment, • Confident managing multiple projects and deadlines, • Detail-driven, organised, and commercially aware, • A collaborative mindset with strong communication skills Software • AutoCAD (essential), • Revit and Navisworks (preferred), • Microsoft Excel and Word (essential), • IES (desirable) Why This Role Stands Out This is a chance to step into a pivotal role where your expertise directly shapes project outcomes. You’ll have real ownership, influence over standards, and the opportunity to build strong relationships across UK and international teams, while working on technically interesting projects.

Senior Performance Test Engineer Location: UK (Remote / Hybrid) Clearance: BPSS required, SC eligible or preferred Salary - 48k-55k pa Role Overview We are looking for a Senior Performance Tester to deliver hands-on load and performance testing across large-scale digital services and backend applications, with experience of working with cloud-based distributed services. This is a technical, delivery-focused role operating in structured and governed environments where performance, resilience, and scalability are critical to service success. Key Responsibilities • Design and execute load, stress, volume, soak, and scalability tests, • Analyse performance results, logs, and system metrics to identify bottlenecks, • Gather and Validate performance NFRs, volumetrics, and capacity assumptions, • Prepare and maintain performance test scripts and execution runbooks, • Execute tests in cloud-hosted (AWS) non-production environments, • Raise performance defects with clear technical evidence, • Support CI/CD integration for performance testing where required, • Contribute to test reports, defect triage, and test completion evidence, • Strong experience in performance testing of enterprise systems, • Hands-on delivery using tools such as JMeter, Gatling, LoadRunner, k6 (or equivalent), • Solid understanding of:, • APIs, HTTP, databases, messaging, caching, • Backend and distributed system performance characteristics, • Experience analysing logs and monitoring data, • Familiarity with Agile and hybrid delivery models, • Experience with APM tools (e.g. Dynatrace, AppDynamics, Elastic Search with Kibana/Grafana across digital services), • Public-sector or large programme delivery experience, • Responsible for hands-on performance test design and execution, • Owns quality and accuracy of assigned test artefacts and results, • Contributes analysis and recommendations but does not hold final assurance authority, • Works under the direction of a Lead Performance Tester or Test Manager, • Accountable for timely delivery of agreed performance testing activities About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, and more to deliver innovative digital services that matter.

Are you ready to apply data science where it matters most? Do you want your models to drive real-world outcomes in mission-critical settings? Do you enjoy working onsite with a variety of invested clients? A leading UK consultancy is building a dedicated AI & Data Science team to strengthen its delivery capability in Defence. They’re known for outcome-driven transformation work and operate a genuinely hands-on model where technical teams embed with client stakeholders to make change stick. The business has a strong track record across complex, high-stakes environments, and is now scaling its DS capability to deliver ML, GenAI and simulation solutions end-to-end. For high performers, there’s clear progression and the chance to shape the direction of a growing AI practice. You’ll work directly with end users and senior stakeholders to shape solutions from concept through to embedded impact. This is a high-trust, high-autonomy role where you’ll own both technical delivery and stakeholder engagement - all within a deeply collaborative consulting environment. They're hiring at Lead (3-5 years of experience) to Principal level (5-10+ years of experience). Key Responsibilities • Build and deploy machine learning models and simulation tooling in secure environments, • Lead technical delivery across multi-disciplinary teams, including consultants and engineers, • Work closely with client stakeholders on-site to co-design and iterate on solutions, • Translate complex analytics into strategic business outcomes with measurable value Key Details • Salary: £80,000 - £150,000, • Working model: On-site 4–5 days/week across UK client locations in England & Scotland (travel required), • Tech Stack: Python, MLflow, Databricks, Docker, Azure OpenAI, simulation frameworks, • Clearance: British citizenship / Security Clearance eligibility required, • Visa: This role cannot sponsor Interested? Please apply below.

About Persistent: We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the “Brand Finance India 100” 2025 report. We were also cited as a Leader in the ISG Provider Lens™ 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix® Assessment 2025 About Position and details: • Role: Full Stack Engineer, • Location: Glasgow, UK, • Hybrid: 2 days to office Looking for Expertise in advanced Java and open-source technologies. Skilled in Spring Boot, Hibernate, Microservices, Docker, Kubernetes, JPA, MySQL, SQL Server, Snowflake, REST API, Apache Kafka, Jenkins, CI/CD, Python, Machine Learning, Data Analytics. Leveraging GitHub Copilot to enhance productivity and reduce delivery timelines. Core Competencies • Languages: Java (7–17), Python, • Frameworks: Spring Boot 3.x, Hibernate, JPA, Microservices, Apache Kafka, Docker, Kubernetes, API gateways, JWT, Spring MVC, Spring Cloud etc., • Tools: Jenkins, Maven, Gradle, Git, SonarQube, check style, Spotless, GitLab, Bitbucket, etc., • Databases: MySQL, SQL Server, Oracle, MongoDB, Snowflake, Derby, • Reporting tools: Aqua scan, Checkmarks, SonarQube, Datadog, Soda, SSRS, etc., • Cloud: Azure, AWS (S3) basic, • Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence. Key Responsibilities • Full Stack Development: Build and maintain scalable web applications using Java (Spring Boot), Python (Fast API /Django), or Node.js for the backend., • AI/ML Integration: Work closely with Data Scientists to deploy and integrate ML models (including LLMs, Predictive Models, and NLP) into production environments via RESTful APIs., • Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL) and NoSQL, (MongoDB), Snowflake databases., • Competitive salary and benefits package, • Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications., • Opportunity to work with cutting-edge technologies., • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, • Annual health check-ups “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

M365 – SharePoint Developer (Contract) Location: Hybrid – Stratford (on site 2 days per week) Contract Length: Long-term contract (circa 2 years) Clearance: SC Clearance required (likely) This role does not sponsor visa's Role Overview We are looking for an experienced M365 / SharePoint Online Developer to join a delivery team working on a major UK regulatory programme. This is a long-term contract opportunity for someone who enjoys being hands-on, embedded with delivery teams, and contributing as a committed team player. You will be responsible for designing and building modern, scalable collaboration and content management solutions across Microsoft 365, with a strong focus on SharePoint Online and Records Management. Key Responsibilities • Develop and customise modern SharePoint Online sites, pages, lists, libraries, and components, • Build custom solutions using SPFx, React, TypeScript, JavaScript, HTML, and CSS, • Design and deliver business applications and workflow automation using Power Apps and Power Automate, • Implement Microsoft Purview Records Management, including retention labels, policies, auto-classification, and disposition workflows, • Integrate SharePoint with wider Microsoft 365 services (Teams, Viva, Outlook, OneDrive), • Develop integrations using Microsoft Graph API, SharePoint REST APIs, and relevant Azure services, • Support content governance, permissions, information architecture, and compliance best practices, • Work closely with business and technical stakeholders to gather requirements and deliver high-quality solutions, • Produce technical documentation and provide ongoing troubleshooting and support Required Skills & Experience • Strong hands-on experience with SharePoint Online development and configuration, • Proven experience with SPFx and modern front-end frameworks (React, TypeScript, JavaScript), • Hands-on delivery using Power Apps and Power Automate, • Experience implementing Microsoft Purview Records Management, including retention labels, schedules, disposition review, and sensitivity labels, • Experience working with Microsoft Graph APIs and SharePoint REST APIs, • Familiarity with PnPjs, PnP PowerShell, and CLI for Microsoft 365, • Understanding of authentication models (OAuth 2.0, Azure AD app registrations), • Exposure to Azure services such as Azure Functions, WebJobs, Logic Apps, and Azure SQL Desirable Experience • Experience delivering digital workplace / collaboration solutions, • Understanding of information governance, compliance, and GDPR, • Strong problem-solving, debugging, and analytical skills, • Ability to translate business requirements into scalable technical solutions, • Relevant Microsoft certifications such as MS-600, PL-400, SC-400, or similar Additional Information • Hybrid working model with 2 days per week on site in Stratford, • SC clearance is required for this role (likely), • Rates are yet to be finalised, but we are open to an initial conversation to understand candidate expectations

Data Engineer – TV Advertising Data (FAST) Location: London – 3 days onsite Salary £75,000 - £85,000 Neg DOE Reference : J13057 Note: Full and current UK working rights required for this role We’re currently seeking a Data Engineer to build the foundations behind the rapidly growing FAST (Free Ad Supports Streaming TV channels) A pioneering opportunity to be involved with direct to consumer advertising for a Global player in the field. Someone who is passionate about how data drives the industry and to help optimise campaigns, measure performance, and monetise content. Key Responsibilities • Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets, • Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Microsoft Fabric environment, • Deliver robust data flows that underpin global FAST dashboards, monetisation insights, and audience viewing metrics, • Work closely with the central Data & Analytics team to enable high-quality Power BI reporting and analysis, • Ensure strong data governance, integrity, and security across the Azure/Fabric ecosystem, • Optimise data pipelines for performance, scalability, and efficiency, following best-practice engineering standards including version control and code reviews, • Monitor pipeline health, data freshness, and quality, implementing proactive alerting and issue resolution, • Translate business and analytical needs into well-structured data models and technical solutions, • Automate data workflows to minimise manual processes and improve operational reliability, • Maintain clear documentation of pipelines, datasets, and data flows to support collaboration and smooth handovers, • Stay current with data engineering best practices, particularly within the Microsoft technology stack Skills & Experience • 5+ years’ experience working as a Data Engineer or in a similar role, • Proven experience with cloud-based data platforms (Azure, AWS, SQL, Snowflake, Springserv); Microsoft Fabric experience is a strong plus, • Strong proficiency in Spark SQL and PySpark, including complex transformations, • Experience building ETL/ELT pipelines using tools such as Azure Data Factory or equivalent, • Ability to write efficient, reusable scripts for transformation, validation, and automation, • Hands-on experience integrating data from APIs (REST, JSON), including automated data collection, • Solid understanding of data modelling best practices for analytics and dashboards, • Confidence working with large, complex datasets across multiple formats (CSV, JSON, Parquet, databases, APIs), • Strong problem-solving skills and the ability to diagnose and resolve data issues, • Excellent communication skills and experience working with cross-functional teams, • Genuine curiosity about how data drives content performance, audience behaviour, and monetisation If this sounds like the role for you then please apply today!

AI Prompt Engineering Consultant - Q2-Q3 2026 - future talent Technically Sharp | Systems-Minded | GenAI Focused Design, optimize, and operationalize prompt-driven and agentic AI systems. Architect LLM-powered workflows that connect people, data, and intelligent systems in high-impact, production-ready ways. THE ROLE Prompting, Reasoning & Agentic Systems • Design, test, and optimize prompts for leading frontier models (GPT-4.x/5, Claude 3+, Gemini, LLaMA, DeepSeek, and emerging open-weight models)., • Apply advanced prompting and reasoning techniques, including:, • Chain-of-Thought, ReAct, Tree-of-Thoughts, Graph-of-Thoughts, Program-of-Thoughts, • Self-reflection and critique loops, • Debate prompting and multi-agent collaboration, • Architect agentic workflows using frameworks such as AutoGen, CrewAI, LangGraph, and custom orchestration layers., • Build systems with tool calling, long-term and short-term memory, retrieval pipelines, and structured reasoning constraints. GenAI Application Engineering • Integrate LLMs into real-world applications using LangChain, LlamaIndex, Haystack, AutoGen, and OpenAI Assistant / Responses API patterns., • Design and implement high-performance Retrieval-Augmented Generation (RAG) pipelines, including:, • Hybrid (keyword + vector) search, • Reranking and embedding optimization, • Chunking and document preprocessing strategies, • Evaluation and regression testing harnesses, • Develop APIs, microservices, and serverless GenAI workflows for scalable, secure deployment. ML / LLM Engineering & LLMOps • Work across AI/ML platforms such as Azure ML, AWS SageMaker, Vertex AI, Databricks, Modal, and Fly.io., • Deploy and manage vector databases and embedding stores, including Pinecone, Weaviate, Milvus, FAISS, ChromaDB, and pgVector., • Implement LLMOps / PromptOps practices using tools such as:, • Weights & Biases, MLflow, LangSmith, LangFuse, PromptLayer, Humanloop, Helicone, Arize Phoenix, • Benchmark, evaluate, and monitor LLM systems using RAGAS, DeepEval, custom eval suites, and human-in-the-loop review., • Leverage AI-native developer tools (GitHub Copilot, Cursor, Codeium, Aider, Windsurf) to accelerate iteration and experimentation. Deployment, Performance & Infrastructure • Containerize and deploy GenAI workloads using Docker, Kubernetes, KNative, and managed inference endpoints., • Optimize system performance with:, • Caching, batching, routing, and fallback strategies, • Quantization and distillation for efficient inference, • Cost, latency, and reliability optimization, • Design resilient, observable GenAI systems suitable for production environments. EXPERIENCE • Strong Python engineering skills with hands-on experience across the modern GenAI ecosystem., • Deep understanding of LLM behavior, prompt optimization, embeddings, retrieval strategies, and data preparation workflows., • Practical experience with vector databases and semantic search systems., • Comfortable working in Linux environments with Bash/PowerShell, containers, and cloud infrastructure., • Strong communication skills, creativity, and a systems-thinking mindset., • Curious, adaptable, and motivated to stay ahead of rapid advances in GenAI and AI-native software development. BENEFICIAL • Experience with PromptOps, LLM observability, and evaluation tooling., • Understanding of Responsible AI, safety, bias mitigation, governance, and compliance frameworks., • Background in Computer Science, AI/ML, Engineering, or a related technical discipline., • Experience deploying, fine-tuning, or serving open-source LLMs in production. Staffworx is a UK-based Talent & Recruiting Partner supporting organisations across Digital Commerce, Software Engineering, and Value-Add Consulting sectors throughout the UK & EMEA.

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to

Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for a Senior Python Engineer, and we’re hoping it’s you! In this role! You'll help lead and implement the improvement of algorithms, optimising execution, usability, and package architecture of our ML Verification packages. Note that this is a Python code focused role, rather than a Data Science role, so Python programming skills are the priority, where as Machine Learning and Data Science skills are secondary. There will be plenty of opportunity to get involved in machine learning model training, evaluation and deployment, as well as all the associated ecosystems of tools, however the key mission is work magic on our python based tools and packages. We’re looking forward to having you on board! Responsibilities: The position requires a passion for science and engineering, paired with an ability to produce production-ready solutions while working closely with both product and research teams. As a Safe Intelligence Senior Python Engineer, you will: • Play a leadership and mentoring role in Python package and code development including strong modelling of best practice and efficient procedures., • Productise a set of Python packages and tools for use in machine learning applications that build on powerful algorithms developed by the research team., • Contribute towards making verification and robust-learning algorithms scalable and more efficient, and developing a clean, well-organised code-base that supports our goal of making these methods intuitive and easy to use by the wider community., • Work closely with the platform team to interface and containerise the packages and toolkits for scalable deployment., • Stay updated with the latest technologies and trends in Python development and actively contribute to the team's technical knowledge base., • Contribute to Machine Learning related Open Source initiatives. Requirements: The technical requirements for the role are: • Extensive professional experience as a Python-based developer., • Experience with modern Python development techniques and design patterns., • Experience with the development of highly parallelised applications, including memory management., • Experience with widely used tools in data science and machine learning. Developers should be somewhat familiar with libraries like NumPy, pandas, scikit-learn, and PyTorch., • Proficiency in testing approaches and frameworks like pytest as well as automation tools like Github Actions or Travis CI for maintaining code quality and continuous integration/continuous deployment (CI/CD) pipelines., • Advanced proficiency with code maintenance tools and best practice, including Git and configuring workflows., • Experience either contributing to or maintaining Python based open-source projects., • Have a passion for code quality and things done right. Additional beneficial experience includes: • Familiarity with CUDA and optimising highly parallelised GPU-based computations are a plus, • Familiarity with the end-to-end supervised training of neural networks and accompanying MLOps ecosystem are a plus, • Familiarity with Django and related frameworks / tools, • Familiarity with other programming languages and frameworks At a personal level we’re also looking for someone who is: • Passionate about delivering software to realise safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, researchers and other partners., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with and respectful of others on the team., • Honest, straightforward, and caring about each other’s well-being. Why Safe Intelligence is for you: We strongly believe AI can bring great benefits to individuals and society, but these will only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning, and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigor in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

B2B SaaS | Hybrid – 2-3 days office | UK Location: London Type: Full-time Role Overview Accessible rail travel depends on systems that work reliably in live environments. Our Passenger Assistance platform turns passenger assistance requests into coordinated action inside live rail operations. We are hiring a Mid-Senior Ruby on Rails Engineer to own and evolve our operational systems, ensuring stability and production reliability in close collaboration with cross-functional teams. Strategic Context Transreport exists to remove structural barriers in rail travel. Our vision is that everyone has access to travel everywhere. As a Series A technology company and recipient of a King’s Award, we operate across the UK, Japan and the EU, delivering award-winning accessibility and safety platforms that have supported over 10 million assistance requests for more than 1 million users. As our operational demands grow, our backend systems must support increasing integrations, regulatory complexity, data volume, and reliability expectations. Outcomes & Impact Within 6 months, you will: • Take ownership of two operational Rails platform., • Improve test coverage and architectural documentation (e.g., C4 models)., • Stabilise key third-party integrations and reduce recurring production issues., • Strengthen monitoring and observability practices., • Act as a trusted backend partner for Product and Platform teams. Within 12 months, you will: • Confidently own and evolve multiple backend systems., • Improve database performance and background job efficiency., • Reduce operational risk across TOC integrations., • Strengthen CI/CD reliability and deployment confidence., • Contribute to longer-term backend architecture improvements and scalability planning. Responsibilities • Own & Evolve Backend Systems: Maintain and improve our Ruby on Rails applications supporting operational workflows., • Technical Quality: Write clean, well-tested code and uphold strong security and data integrity standards., • Integrations: Manage third-party integrations, ensuring reliable and secure data exchange., • Infrastructure Collaboration: Work with the Platform team on AWS-based deployments and CI/CD processes., • Performance & Reliability: Optimise background processing and database performance to maintain system stability., • Incident Response: Support investigation and resolution of production issues., • Cross-Functional Collaboration: Partner with Frontend and Mobile engineers to deliver robust, scalable APIs., • Continuous Improvement: Contribute to improving deployment practices, monitoring, and long-term maintainability., • Operational Accountability: Act as the technical owner of production systems that directly impact live rail operations, ensuring high availability and rapid incident resolution. Requirements Must Haves • 4+ years of professional experience with Ruby on Rails., • Strong understanding of object-oriented programming and Rails architecture, • Extensive experience with PostgreSQL, including performance tuning and complex queries., • Experience with background job processing using Sidekiq and Redis., • Solid understanding of RESTful API design, JSON serialization, and authentication (e.g., JWT, SSO)., • Hands-on experience with AWS services and containerised deployments (Docker)., • Experience troubleshooting and supporting production systems., • Comfortable working within and improving existing codebases., • Ability to prioritise effectively and manage multiple initiatives., • Strong written and verbal communication skills in English., • Experience working in Agile/Scrum environments with Git/GitHub. Nice to Haves: • Experience working with SOAP/XML integrations., • Experience migrating serverless components (e.g., AWS Lambda) into Rails applications., • Familiarity with Vue.js to support frontend collaboration., • Experience working with mobile applications (React Native / Kotlin / Swift)., • Experience working in regulated industries or multi-client B2B systems., • Contributions to open-source Ruby projects or technical blogging. Benefits • Private healthcare after your probation (including children), • Hybrid working model, • 25 days holiday, • Volunteering Leave, • Free flu jab for you and your family Culture & Operating Principles We value: • Ownership over hierarchy, • Clarity over bureaucracy, • Impact over job titles We operate with high autonomy and high accountability. People are expected to raise risks early, communicate clearly, and take responsibility for outcomes. Interview Roadmap • Screening Call (30 mins) – Recruiter alignment, • Technical Exercise – Rails architecture & integration discussion, • Deep Dive Interview – Engineering & Product, • Final Culture Conversation – Leadership alignment We aim to complete the process within 4 weeks. Guaranteed Interview Scheme We’re a Disability Confident employer and we welcome applications from disabled candidates. If you need any adjustments at any stage of the recruitment process, please tell us what would help - we’ll work with you to make the process as accessible as possible. We also offer a Guaranteed Interview Scheme (GIS) for candidates who consider themselves to have a disability as defined under the Equality Act 2010. If you indicate this option in your application and your application demonstrates that you meet the essential criteria for the role, you’ll be invited to interview or assessment. Choosing GIS doesn’t guarantee a job offer. If you have any questions, please get in touch.

Senior LLM, RAG & Agentic AI Consulting Engineer - Lead / Senior FDE Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm’s long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design and deliver production-grade AI systems for external clients, including: • LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops, • Multi-agent architectures, including planning, delegation, safety constraints and monitoring, • Retrieval and vector-based systems, embeddings, structured reasoning and semantic workflows, • Ontology and knowledge modelling literacy to enable precise reasoning and data alignment, • Integrations and automation via APIs, tools and enterprise systems, • Prompt engineering at scale, including pattern libraries, guardrails and explainability checks You will lead technical design within client engagements and set architectural direction across delivery pods. Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: • Translate ambiguous client problems into clear, feasible engineering approaches, • Assess client data, platforms, security constraints and operating models, • Contribute to framing, use-case shaping and technical scoping discussions, • Work directly with client domain experts to surface edge cases and operational realities, • Produce clear, lightweight technical artefacts for client and internal audiences Delivery Excellence, AI Ops & Reliability You will ensure client solutions are safe, observable and enterprise-ready by: • Implementing evaluation frameworks and safety checks across models and agents, • Designing monitoring, logging, tracing and incident-response patterns, • Applying governance, risk and compliance principles within client environments, • Supporting releases, environments and handover into client operations, • Ensuring reliability, reproducibility, performance and cost controls Experience & Skills This is a senior, hands-on consulting engineering role. Candidates should bring: • Solid experience in software engineering, AI engineering, or applied data engineering, • Strong hands-on experience with LLMs, embeddings, RAG, retrieval stacks and vector databases, • Experience designing or implementing multi-agent systems or tool-calling frameworks, • Strong Python skills with experience building production-grade systems, • Experience working across at least one major cloud AI ecosystem (e.g. Azure/OpenAI, GCP/Vertex, AWS, Anthropic), • Familiarity with semantic modelling, ontologies, or knowledge graph concepts, • Proven ability to rapidly prototype solutions for client validation, • Experience working directly with clients in consulting or professional services contexts Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Business Consulting sectors across the UK & EMEA.

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

🔥 Who We Are At ___, we relentlessly drive innovation in AI, building the world's leading ___. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join ___ and help shape the future of ___. 🌎 Location and Legalities This full-time LLM Engineer position is based onsite in our brand-new ___ in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. 🚀 What You'll Do As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of ___ with our state-of-the-art ___ technologies. Key responsibilities include: • Developing and scaling robust LLM-powered applications using a variety of APIs, including ___, ___, and ___., • Implementing and managing multi-API workflows using tools like ___ to ensure flexibility and resilience., • Building sophisticated ___ systems, leveraging advanced techniques like embeddings with ___, rerankers, and query enrichment., • Designing and maintaining efficient data pipelines and vector storage solutions using ___ Atlas Vector Search., • Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our ___ and user support., • Collaborating with our ___ development team to explore and build innovative ___. 🛠️ Skills and Experience • 5+ years of experience in software engineering, with a strong focus on AI and ___., • Expert-level proficiency in ___ and deep learning frameworks, particularly ___., • Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek., • Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like ___., • Practical knowledge of ___, prompt engineering, and performance optimization., • Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions., • A strong interest in ___ and an understanding of object detection models like ___ is a significant plus., • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our ___. Our ___ thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI. 💶 Compensation and Benefits • Competitive Salary: Highly competitive based on experience., • Startup Equity: Participate directly in our company's growth and success., • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote., • Generous Time Off: 24 days vacation, your birthday off, plus local holidays., • Flexible Hours: Tailor your working hours to suit your productivity., • Tech: Engage with cutting-edge ___ and contribute to leading ___ software., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate ___. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, ___ offers an exceptional career opportunity.

Join us at Entrust At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely. Get to Know Us Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future. About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for a Senior Applied Scientist to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data. Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for an Applied Scientist II to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data., • Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission: At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision: In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution: As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. We are seeking a highly skilled and motivated Staff/Senior Simulation Robotics Engineer to join our innovative team. The ideal candidate will have a strong background in robotics, simulation, and software development and will be responsible for developing and maintaining advanced simulation environments for robotic systems, enabling the testing and validation of complex robotic behaviors and algorithms. The successful candidate will have the opportunity to work on cutting-edge robotics projects with a talented team in a flexible and supportive work environment with opportunities for professional growth and development. What You’ll Do: • Simulation Development: Design and implement high-fidelity simulation environments for robotic systems, incorporating realistic physics, sensor models, and environmental interactions., • Software Engineering: Write clean, maintainable, and scalable code, utilizing modern software engineering practices and tools., • Digital Twin Integration: Develop and maintain interfaces to facilitate the creation of a digital twin for seamless transfer of insights and control strategies between simulation and real robots., • Gym environment. Design Gym-like environments to support the robot learning team in developing locomotion and manipulation policies., • Algorithm Testing and Data Analysis: Design and execute simulation-based tests to evaluate robotic algorithms and control systems, and analyze simulation data to gain insights and identify areas for improvement., • Cross-Team Collaboration: Work closely with other engineers and researchers, especially across multiple teams such as manipulation, locomotion, VLA, Reasoning Design & Hardware, and Control & Integration, to ensure seamless integration of simulation tools into the overall robotic development workflow., • Trend Awareness: Stay informed on current trends in the simulation field and proactively explore their implementation within the company. We’re Looking For: • Education: B. Sc., Master's or Ph.D. in Robotics, Computer Science, or a related field., • Strong programming skills in C++, Python, • Deep expertise in ROS2 and the ROS2 Control stack., • Experience with robotic simulation frameworks, such as MuJoCo and Isaac Sim., • Knowledge of robotic kinematics, dynamics, and control., • Experience with gym-like environments for robot learning., • Familiarity with imitation learning, VLA models & Computer Vision techniques., • A proactive, can-do attitude and a collaborative spirit. What we offer: • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy